A fast algorithm is developed for computing the conditional mean and variance of the signal given the observations in a signal plus noise model. The resulting recursions can be applied immediately to ...

An artificial intelligence-based algorithm enhances the detection of B lines on lung ultrasound images compared with manual ...

Accurate positioning is vital for applications ranging from autonomous vehicles to precision agriculture, yet atmospheric ...

James McCaffrey walks you through whys and hows of using k-fold cross-validation to gauge the quality of your neural network values. Cross-validation is a process that can be used to estimate the ...

The lasso and related sparsity inducing algorithms have been the target of substantial theoretical and applied research. Correspondingly, many results are known about their behavior for a fixed or ...

The Michigan Value Collaborative has created a claims-based algorithm that categorizes claims into episode components. This manuscript describes the validation of this algorithm. Objectives: Although ...

A new use of artificial intelligence could change how doctors manage a sight-threatening condition that often strikes young ...

Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with ...